Triple
T12928377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marceline the Vampire Queen |
E309304
|
entity |
| Predicate | parentalRelation |
P75214
|
FINISHED |
| Object | daughter of Hunson Abadeer |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: daughter of Hunson Abadeer | Statement: [Marceline the Vampire Queen, parentalRelation, daughter of Hunson Abadeer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalRelation Context triple: [Marceline the Vampire Queen, parentalRelation, daughter of Hunson Abadeer]
-
A.
parentRelationship
chosen
Indicates a familial relationship in which one entity is the parent of another entity.
-
B.
relationshipWithFather
Indicates a familial relationship that specifically connects an individual to their father.
-
C.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
-
D.
basisOfRelationship
Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
-
E.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.